| Exploring Pretrained Models for Joint Morpho-syntactic Parsing of Russian DG Anastasyev Computational Linguistics and Intellectual Technologies: Proceedings of the …, 2020 | 32 | 2020 |
| Improving part-of-speech tagging via multi-task learning and character-level word representations D Anastasyev, I Gusev, E Indenbom arXiv preprint arXiv:1807.00818, 2018 | 25 | 2018 |
| Part-of-speech tagging with rich language description DG Anastasyev, AI Andrianov, EM Indenbom Компьютерная лингвистика и интеллектуальные технологии, 2-13, 2017 | 13 | 2017 |
| Neural network training utilizing loss functions reflecting neighbor token dependencies E Indenbom, D Anastasiev US Patent 11,715,008, 2023 | 4 | 2023 |
| Predicting probability of occurrence of a string using sequence of vectors EM Indenbom, DG Anastasiev US Patent 10,657,203, 2020 | 4 | 2020 |
| Annotated Span Normalization as a Sequence Labelling Task D Anastasyev Computational Linguistics and Intellectual Technologies: Proceedings of the …, 2021 | 3 | 2021 |
| Humans keep it one hundred: An overview of AI Journey T Shavrina, A Emelyanov, A Fenogenova, V Fomin, V Mikhailov, ... Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020 | 3 | 2020 |
| Predicting probability of occurrence of a string using sequence of vectors EM Indenbom, DG Anastasiev US Patent 10,963,647, 2021 | 1 | 2021 |
| Neural network training utilizing loss functions reflecting neighbor token dependencies E Indenbom, D Anastasiev US Patent App. 18/209,337, 2023 | | 2023 |
| Sentence Simplification for Russian using Transfer Learning EP Komleva, DG Anastasyev | | 2021 |
| ПРЕДСКАЗАНИЕ ВЕРОЯТНОСТИ ПОЯВЛЕНИЯ СТРОКИ С ИСПОЛЬЗОВАНИЕМ ПОСЛЕДОВАТЕЛЬНОСТИ ВЕКТОРОВ ЕМ Инденбом, ДГ Анастасьев | | 2020 |
Evgenii IndenbomMicrosoftVerified email at microsoft.com
